Triple
T29910943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCNScene |
E759674
|
entity |
| Predicate | topNode |
P10192
|
FINISHED |
| Object | rootNode |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: rootNode | Statement: [SCNScene, topNode, rootNode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topNode Context triple: [SCNScene, topNode, rootNode]
-
A.
topLevel
Indicates that an entity occupies the highest or outermost level in a hierarchy, structure, or organizational arrangement, with no parent above it.
-
B.
top
Indicates that one entity is physically positioned above or on the uppermost surface of another entity.
-
C.
topStructure
Indicates that one structure occupies the highest or most superior position relative to other structures within a given system or hierarchy.
-
D.
topLocation
Indicates that one location is the primary, highest-level, or most prominent place associated with another entity or set of locations.
-
E.
topLevelOf
chosen
Indicates that one entity is the highest or most overarching level within the structure or hierarchy of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6775ac1ac8190a8efe5439cc1e52d |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:10 p.m.